class_docstr: Multi-class Dice Coefficient for Semantic Segmentation
  
  Calculates Dice Coefficient for semantic segmentation (multi-class tasks).
  
  Heaviliy inspired by fastai's implementation:  Implement multi-class version following https://github.com/fastai/fastai/blob/594e1cc20068b0d99bfc30bfe6dac88ab381a157/fastai/metrics.py#L343
  
  # Arguments
      classes_to_exclude: A list of class names to exclude from metric computation
code: def __init__(self, classes_to_exclude: list = []):
      self.classes_to_exclude = classes_to_exclude
      self._reset()
  
file_path: icevision/icevision/metrics/dice_coefficient/multiclass_dice_coefficient.py
imports: from icevision.imports import *
  from icevision.utils import *
  from icevision.data import *
  from icevision.metrics.metric import *
label_desc: Use image node_id 1 to create a new MulticlassDiceCoefficient object from inherited base classes: Metric with example: obj = MulticlassDiceCoefficient(classes_to_exclude)